Veo 3.1 API Tutorial: Generate AI Videos with Python & JavaScript (2026 Guide)

# pip install nexaapi
from nexaapi import NexaAPI

client = NexaAPI(api_key='YOUR_API_KEY')

# Text-to-Video Generation
response = client.video.generate(
    model='veo-3',
    prompt='A cinematic shot of a futuristic city at sunset, 4K quality',
    aspect_ratio='16:9',
    duration=5
)
print(response.video_url)

# Image-to-Video Generation
response_i2v = client.video.generate(
    model='veo-3',
    prompt='The scene comes to life with gentle motion',
    image_url='https://example.com/your-image.jpg',
    aspect_ratio='16:9',
    duration=4
)
print(response_i2v.video_url)

# Save the video
import requests
video_data = requests.get(response.video_url).content
with open('output.mp4', 'wb') as f:
    f.write(video_data)
print('Video saved as output.mp4')

// npm install nexaapi
import NexaAPI from 'nexaapi';

const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });

async function generateVideo() {
  // Text-to-Video
  const response = await client.video.generate({
    model: 'veo-3',
    prompt: 'A cinematic shot of a futuristic city at sunset, 4K quality',
    aspectRatio: '16:9',
    duration: 5
  });
  console.log('Video URL:', response.videoUrl);

  // Image-to-Video
  const i2vResponse = await client.video.generate({
    model: 'veo-3',
    prompt: 'The scene comes to life with gentle motion',
    imageUrl: 'https://example.com/your-image.jpg',
    aspectRatio: '16:9',
    duration: 4
  });
  console.log('Image-to-Video URL:', i2vResponse.videoUrl);
}

generateVideo();